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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/140846
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Type: Conference paper
Title: A Framework for Enhancing the Student Experience Through Automated Analysis (Doctoral Consortium)
Author: Arishi, H.
Citation: Proceedings of the 23rd Koli Calling International Conference on Computing Education Research (2023), 2023 / Mühling, A., Jormanainen, I. (ed./s), pp.29:1-29:1
Publisher: ACM
Issue Date: 2023
ISBN: 9798400716539
Conference Name: Koli Calling International Conference on Computing Education Research (13 Nov 2023 - 18 Nov 2023 : Koli, Finland)
Editor: Mühling, A.
Jormanainen, I.
Statement of
Responsibility: 		Hamzah Arishi
Abstract: In this doctoral project, we propose a dynamic approach to understanding and improving the student experience through automated analysis. There are various factors within the student’s environment. Identifying and reporting the influence of these factors will contribute to the student experience.
Keywords: student experience; automated analysis
Rights: © 2023 Owner/Author Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
DOI: 10.1145/3631802.3631834
Published version: http://dx.doi.org/10.1145/3631802.3631834
Appears in Collections:Aurora submissions

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